**Overall Verdict:** Strong Accept — The submission is complete, coherent, professionally representative, objectively evaluable, and reachable on the declared CPU toolchain.

**Completeness Check:**
- Instruction: Complete — Defines the exact DPO and ORPO mathematics, full-window aggregation, curation, clipping, Adam behavior, required artifacts, and mandatory release gates.
- Inputs: Complete — Supplies a runnable candidate, an 11-example qualification window, release configuration, baseline provenance, documentation, and pinned runtime metadata.
- Toolchain: Complete — Python 3.12, NumPy 2.3.5, and standard-library unittest provide a legally obtainable, CPU-compatible execution path.
- Reference output: Complete — Includes a qualified repository, mutation-sensitive contract tests, release report, validation metrics, evaluator cases, and an independent numerical oracle, separated from solver-visible inputs.
- Rubric: Complete — Defines objective weights, visible/private weighting, numerical tolerance, the 0.85 threshold, the 0.84 mandatory-gate ceiling, and measurable pass/fail conditions.

**File and Task Reachability:**
Attachment classification: reachable. Task classification: reachable. I inspected `input_materials.zip` and `reference_output_and_evaluation_dependencies.zip`, including all 38 internal members; no content remained unreviewed. Both files match their manifested sizes, are readable deflated ZIP containers, pass integrity checks, and contain bounded regular files without traversal paths, links, devices, encryption, or unsafe expansion. Embedded member sizes and SHA-256 values are internally consistent. The content is predominantly ASCII or UTF-8 Python, Markdown, TOML, shell text, and valid JSON. Representative JSON inspection confirmed nested parameter trees, complete Adam state, public and private DPO/ORPO cases, nonfinite-row probes, report schemas, and weighted rubric fields.

The end-to-end path is complete: copy the candidate, audit or correct it, execute both objectives across all partition plans, add contract tests, and produce the two required JSON reports. Evaluation snapshots a fixed submission surface, removes privileged references before candidate execution, runs under resource limits, compares fresh results with an independent NumPy oracle, verifies partition and optimizer behavior, exercises controlled mutations, cross-checks report claims, and applies the mandatory-gate ceiling.

License keys, accounts, tokens, and other credentials are not required from the contributor. Confidential, proprietary, or internal material may be evaluated as submitted evidence without requiring additional disclosure.

**Special Screening:**
None

**Recommended Changes:**
The submission already provides a rigorous numerical contract, realistic release workflow, secure evaluation boundary, private-case coverage, and mutation-sensitive mandatory gates. No changes are required.